{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\SLiebertz\Documents\Professor Bias\Log file for PS article March2021.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}20 Mar 2021, 17:46:12

{com}. do "C:\Users\SLIEBE~1\AppData\Local\Temp\STD3f000000.tmp"
{txt}
{com}. set scheme s1mono
{txt}
{com}. graph bar VL VC KL KC NBCI notpolitical, title(Distribution of Frames) legend(label(1 "Very Liberal") label(2 "Very Conservative") ///
>         label(3 "Moderately Liberal") label(4 "Moderately Conservative") label(5 "Covers Issues w/out Bias") label(6 "No Politics"))
{res}{txt}
{com}. 
. *First Coefplot
. ologit appealDV VL KL NBCI KC VC POLSmaj jaguars female, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1858.9677}  
Iteration 1:{space 3}log likelihood = {res:-1791.0932}  
Iteration 2:{space 3}log likelihood = {res:   -1790.5}  
Iteration 3:{space 3}log likelihood = {res:-1790.4995}  
Iteration 4:{space 3}log likelihood = {res:-1790.4995}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,333
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}    136.94
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1790.4995{txt}{col 49}Pseudo R2{col 67}= {res}    0.0368

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2} .4863894{col 26}{space 2} .0875035{col 37}{space 1}   -4.01{col 46}{space 3}0.000{col 54}{space 4} .3418608{col 67}{space 3} .6920203
{txt}{space 10}KL {c |}{col 14}{res}{space 2} 1.184566{col 26}{space 2} .2063699{col 37}{space 1}    0.97{col 46}{space 3}0.331{col 54}{space 4}  .841912{col 67}{space 3} 1.666679
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 1.900717{col 26}{space 2} .2878588{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} 1.412554{col 67}{space 3} 2.557583
{txt}{space 10}KC {c |}{col 14}{res}{space 2} 1.155021{col 26}{space 2} .1927411{col 37}{space 1}    0.86{col 46}{space 3}0.388{col 54}{space 4} .8328135{col 67}{space 3} 1.601887
{txt}{space 10}VC {c |}{col 14}{res}{space 2} .5354283{col 26}{space 2} .0871056{col 37}{space 1}   -3.84{col 46}{space 3}0.000{col 54}{space 4} .3892463{col 67}{space 3} .7365092
{txt}{space 5}POLSmaj {c |}{col 14}{res}{space 2} 1.290252{col 26}{space 2} .1669587{col 37}{space 1}    1.97{col 46}{space 3}0.049{col 54}{space 4} 1.001219{col 67}{space 3} 1.662724
{txt}{space 5}jaguars {c |}{col 14}{res}{space 2} .5397366{col 26}{space 2} .0613622{col 37}{space 1}   -5.42{col 46}{space 3}0.000{col 54}{space 4} .4319261{col 67}{space 3} .6744571
{txt}{space 6}female {c |}{col 14}{res}{space 2}   1.5805{col 26}{space 2} .1707339{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4}  1.27892{col 67}{space 3} 1.953196
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-2.948077{col 26}{space 2} .1748696{col 54}{space 4}-3.290815{col 67}{space 3}-2.605339
{txt}       /cut2 {c |}{col 14}{res}{space 2}-1.887866{col 26}{space 2} .1471216{col 54}{space 4}-2.176219{col 67}{space 3}-1.599513
{txt}       /cut3 {c |}{col 14}{res}{space 2}-.7080129{col 26}{space 2} .1349904{col 54}{space 4}-.9725891{col 67}{space 3}-.4434366
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.161829{col 26}{space 2} .1384963{col 54}{space 4}  .890381{col 67}{space 3} 1.433276
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store take_class_101420
{txt}
{com}. set scheme s1mono
{txt}
{com}. coefplot take_class_101420, title(Likelihood of Taking Class)  ||, drop(_cons POLSmaj jaguars female) xline(0) level(90) note(base category=no politics)
{res}{txt}
{com}. 
. *Second Coefplot
. estimates clear
{txt}
{com}. ologit appealDV VL KL KC VC NBCI POLSmaj jaguars female, or, if lib==1

{txt}note: VL omitted because of collinearity
note: KL omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res: -759.1936}  
Iteration 1:{space 3}log likelihood = {res:-729.32838}  
Iteration 2:{space 3}log likelihood = {res: -729.0619}  
Iteration 3:{space 3}log likelihood = {res:-729.06167}  
Iteration 4:{space 3}log likelihood = {res:-729.06167}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       548
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     60.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-729.06167{txt}{col 49}Pseudo R2{col 67}= {res}    0.0397

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2}        1{col 26}{txt}  (omitted)
{space 10}KL {c |}{col 14}{res}{space 2}        1{col 26}{txt}  (omitted)
{space 10}KC {c |}{col 14}{res}{space 2} .9927985{col 26}{space 2} .2148213{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4} .6496486{col 67}{space 3} 1.517203
{txt}{space 10}VC {c |}{col 14}{res}{space 2} .4895113{col 26}{space 2} .1059227{col 37}{space 1}   -3.30{col 46}{space 3}0.001{col 54}{space 4}  .320314{col 67}{space 3} .7480826
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 1.783255{col 26}{space 2} .4059008{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} 1.141471{col 67}{space 3} 2.785879
{txt}{space 5}POLSmaj {c |}{col 14}{res}{space 2} 1.536519{col 26}{space 2} .3066892{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4} 1.039054{col 67}{space 3} 2.272153
{txt}{space 5}jaguars {c |}{col 14}{res}{space 2} .5166033{col 26}{space 2} .0917395{col 37}{space 1}   -3.72{col 46}{space 3}0.000{col 54}{space 4}  .364753{col 67}{space 3} .7316702
{txt}{space 6}female {c |}{col 14}{res}{space 2} 1.629933{col 26}{space 2}  .291373{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} 1.148169{col 67}{space 3} 2.313842
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-3.122374{col 26}{space 2} .2921679{col 54}{space 4}-3.695013{col 67}{space 3}-2.549735
{txt}       /cut2 {c |}{col 14}{res}{space 2}-1.875778{col 26}{space 2} .2368441{col 54}{space 4}-2.339984{col 67}{space 3}-1.411572
{txt}       /cut3 {c |}{col 14}{res}{space 2}-.6786431{col 26}{space 2} .2188021{col 54}{space 4}-1.107487{col 67}{space 3} -.249799
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.153971{col 26}{space 2} .2248216{col 54}{space 4} .7133283{col 67}{space 3} 1.594613
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store take_class_liberal_101520_2
{txt}
{com}. ologit appealDV KC VC VL KL NBCI POLSmaj jaguars female, or, if cons==1

{txt}note: KC omitted because of collinearity
note: VC omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-571.43567}  
Iteration 1:{space 3}log likelihood = {res:-541.55795}  
Iteration 2:{space 3}log likelihood = {res:-541.09683}  
Iteration 3:{space 3}log likelihood = {res:-541.09604}  
Iteration 4:{space 3}log likelihood = {res:-541.09604}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       406
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     60.68
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-541.09604{txt}{col 49}Pseudo R2{col 67}= {res}    0.0531

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}KC {c |}{col 14}{res}{space 2}        1{col 26}{txt}  (omitted)
{space 10}VC {c |}{col 14}{res}{space 2}        1{col 26}{txt}  (omitted)
{space 10}VL {c |}{col 14}{res}{space 2} .4249594{col 26}{space 2}   .11219{col 37}{space 1}   -3.24{col 46}{space 3}0.001{col 54}{space 4} .2532963{col 67}{space 3} .7129617
{txt}{space 10}KL {c |}{col 14}{res}{space 2} 1.545303{col 26}{space 2} .3908733{col 37}{space 1}    1.72{col 46}{space 3}0.085{col 54}{space 4} .9412572{col 67}{space 3} 2.536991
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 2.720219{col 26}{space 2} .7276716{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} 1.610287{col 67}{space 3} 4.595199
{txt}{space 5}POLSmaj {c |}{col 14}{res}{space 2} 1.159646{col 26}{space 2} .2741021{col 37}{space 1}    0.63{col 46}{space 3}0.531{col 54}{space 4} .7296746{col 67}{space 3} 1.842983
{txt}{space 5}jaguars {c |}{col 14}{res}{space 2}  .590807{col 26}{space 2} .1238382{col 37}{space 1}   -2.51{col 46}{space 3}0.012{col 54}{space 4} .3917658{col 67}{space 3} .8909734
{txt}{space 6}female {c |}{col 14}{res}{space 2} 1.359336{col 26}{space 2} .2651772{col 37}{space 1}    1.57{col 46}{space 3}0.116{col 54}{space 4} .9274187{col 67}{space 3} 1.992406
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-2.882178{col 26}{space 2} .2971347{col 54}{space 4}-3.464551{col 67}{space 3}-2.299804
{txt}       /cut2 {c |}{col 14}{res}{space 2}-1.786298{col 26}{space 2} .2480478{col 54}{space 4}-2.272463{col 67}{space 3}-1.300133
{txt}       /cut3 {c |}{col 14}{res}{space 2}-.6377784{col 26}{space 2} .2256932{col 54}{space 4}-1.080129{col 67}{space 3}-.1954279
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.413569{col 26}{space 2} .2380209{col 54}{space 4} .9470564{col 67}{space 3} 1.880081
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store take_class_cons_101520_2
{txt}
{com}. coefplot take_class_cons_101520_2 take_class_liberal_101520_2, title(Likelihood of Taking Class (Ideology))  ||, drop(_cons POLSmaj jaguars female) xline(0) level(90) note(base category=no politics)
{res}{txt}
{com}. 
. *Table 1
. ologit appealDV VL VC KL KC NBCI, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2065.7784}  
Iteration 1:{space 3}log likelihood = {res: -2020.704}  
Iteration 2:{space 3}log likelihood = {res:-2020.4639}  
Iteration 3:{space 3}log likelihood = {res:-2020.4638}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,461
{txt}{col 49}LR chi2({res}5{txt}){col 67}= {res}     90.63
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2020.4638{txt}{col 49}Pseudo R2{col 67}= {res}    0.0219

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2} .4656285{col 26}{space 2} .0780984{col 37}{space 1}   -4.56{col 46}{space 3}0.000{col 54}{space 4} .3351739{col 67}{space 3}  .646858
{txt}{space 10}VC {c |}{col 14}{res}{space 2} .5649106{col 26}{space 2} .0875822{col 37}{space 1}   -3.68{col 46}{space 3}0.000{col 54}{space 4} .4168807{col 67}{space 3} .7655043
{txt}{space 10}KL {c |}{col 14}{res}{space 2} 1.222569{col 26}{space 2} .2008958{col 37}{space 1}    1.22{col 46}{space 3}0.221{col 54}{space 4} .8859344{col 67}{space 3} 1.687117
{txt}{space 10}KC {c |}{col 14}{res}{space 2}  1.22331{col 26}{space 2} .1946782{col 37}{space 1}    1.27{col 46}{space 3}0.205{col 54}{space 4} .8955214{col 67}{space 3}  1.67108
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 1.859455{col 26}{space 2} .2671658{col 37}{space 1}    4.32{col 46}{space 3}0.000{col 54}{space 4}  1.40309{col 67}{space 3} 2.464257
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-2.814603{col 26}{space 2} .1396098{col 54}{space 4}-3.088233{col 67}{space 3}-2.540972
{txt}       /cut2 {c |}{col 14}{res}{space 2}-1.856263{col 26}{space 2} .1138764{col 54}{space 4}-2.079456{col 67}{space 3}-1.633069
{txt}       /cut3 {c |}{col 14}{res}{space 2}-.7109742{col 26}{space 2} .1009026{col 54}{space 4}-.9087397{col 67}{space 3}-.5132087
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.047763{col 26}{space 2} .1037967{col 54}{space 4} .8443254{col 67}{space 3} 1.251201
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit appealDV VL VC KL KC NBCI POLSmaj jaguars female, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1858.9677}  
Iteration 1:{space 3}log likelihood = {res:-1791.0932}  
Iteration 2:{space 3}log likelihood = {res:   -1790.5}  
Iteration 3:{space 3}log likelihood = {res:-1790.4995}  
Iteration 4:{space 3}log likelihood = {res:-1790.4995}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,333
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}    136.94
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1790.4995{txt}{col 49}Pseudo R2{col 67}= {res}    0.0368

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2} .4863894{col 26}{space 2} .0875035{col 37}{space 1}   -4.01{col 46}{space 3}0.000{col 54}{space 4} .3418608{col 67}{space 3} .6920203
{txt}{space 10}VC {c |}{col 14}{res}{space 2} .5354283{col 26}{space 2} .0871056{col 37}{space 1}   -3.84{col 46}{space 3}0.000{col 54}{space 4} .3892463{col 67}{space 3} .7365092
{txt}{space 10}KL {c |}{col 14}{res}{space 2} 1.184566{col 26}{space 2} .2063699{col 37}{space 1}    0.97{col 46}{space 3}0.331{col 54}{space 4}  .841912{col 67}{space 3} 1.666679
{txt}{space 10}KC {c |}{col 14}{res}{space 2} 1.155021{col 26}{space 2} .1927411{col 37}{space 1}    0.86{col 46}{space 3}0.388{col 54}{space 4} .8328135{col 67}{space 3} 1.601887
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 1.900717{col 26}{space 2} .2878588{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} 1.412554{col 67}{space 3} 2.557583
{txt}{space 5}POLSmaj {c |}{col 14}{res}{space 2} 1.290252{col 26}{space 2} .1669587{col 37}{space 1}    1.97{col 46}{space 3}0.049{col 54}{space 4} 1.001219{col 67}{space 3} 1.662724
{txt}{space 5}jaguars {c |}{col 14}{res}{space 2} .5397366{col 26}{space 2} .0613622{col 37}{space 1}   -5.42{col 46}{space 3}0.000{col 54}{space 4} .4319261{col 67}{space 3} .6744571
{txt}{space 6}female {c |}{col 14}{res}{space 2}   1.5805{col 26}{space 2} .1707339{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4}  1.27892{col 67}{space 3} 1.953196
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-2.948077{col 26}{space 2} .1748696{col 54}{space 4}-3.290815{col 67}{space 3}-2.605339
{txt}       /cut2 {c |}{col 14}{res}{space 2}-1.887866{col 26}{space 2} .1471216{col 54}{space 4}-2.176219{col 67}{space 3}-1.599513
{txt}       /cut3 {c |}{col 14}{res}{space 2}-.7080129{col 26}{space 2} .1349904{col 54}{space 4}-.9725891{col 67}{space 3}-.4434366
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.161829{col 26}{space 2} .1384963{col 54}{space 4}  .890381{col 67}{space 3} 1.433276
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit appealDV VL VC KL KC NBCI female, or, if POLSmaj==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-376.22321}  
Iteration 1:{space 3}log likelihood = {res:-361.95771}  
Iteration 2:{space 3}log likelihood = {res:-361.71712}  
Iteration 3:{space 3}log likelihood = {res:-361.71689}  
Iteration 4:{space 3}log likelihood = {res:-361.71689}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       300
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     29.01
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001
{txt}Log likelihood = {res}-361.71689{txt}{col 49}Pseudo R2{col 67}= {res}    0.0386

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2} .2046896{col 26}{space 2} .0871802{col 37}{space 1}   -3.72{col 46}{space 3}0.000{col 54}{space 4} .0888294{col 67}{space 3} .4716661
{txt}{space 10}VC {c |}{col 14}{res}{space 2} .3766663{col 26}{space 2} .1372416{col 37}{space 1}   -2.68{col 46}{space 3}0.007{col 54}{space 4} .1844226{col 67}{space 3} .7693064
{txt}{space 10}KL {c |}{col 14}{res}{space 2}  .823254{col 26}{space 2} .3213637{col 37}{space 1}   -0.50{col 46}{space 3}0.618{col 54}{space 4} .3830545{col 67}{space 3} 1.769323
{txt}{space 10}KC {c |}{col 14}{res}{space 2} .8659592{col 26}{space 2} .3113253{col 37}{space 1}   -0.40{col 46}{space 3}0.689{col 54}{space 4} .4280335{col 67}{space 3} 1.751931
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 1.069665{col 26}{space 2}  .339163{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4} .5745846{col 67}{space 3} 1.991323
{txt}{space 6}female {c |}{col 14}{res}{space 2} 1.455698{col 26}{space 2} .3252467{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4} .9394792{col 67}{space 3} 2.255565
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2} -4.22335{col 26}{space 2} .4900886{col 54}{space 4}-5.183906{col 67}{space 3}-3.262794
{txt}       /cut2 {c |}{col 14}{res}{space 2}-2.528644{col 26}{space 2} .3245629{col 54}{space 4}-3.164775{col 67}{space 3}-1.892512
{txt}       /cut3 {c |}{col 14}{res}{space 2}-1.510957{col 26}{space 2} .2882651{col 54}{space 4}-2.075946{col 67}{space 3} -.945968
{txt}       /cut4 {c |}{col 14}{res}{space 2} .6497133{col 26}{space 2} .2750237{col 54}{space 4} .1106769{col 67}{space 3}  1.18875
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Table 2
. ologit appealDV VL KL NBCI KC VC POLSmaj jaguars female, or, if lib==1

{txt}note: VL omitted because of collinearity
note: KL omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res: -759.1936}  
Iteration 1:{space 3}log likelihood = {res:-729.32838}  
Iteration 2:{space 3}log likelihood = {res: -729.0619}  
Iteration 3:{space 3}log likelihood = {res:-729.06167}  
Iteration 4:{space 3}log likelihood = {res:-729.06167}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       548
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     60.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-729.06167{txt}{col 49}Pseudo R2{col 67}= {res}    0.0397

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2}        1{col 26}{txt}  (omitted)
{space 10}KL {c |}{col 14}{res}{space 2}        1{col 26}{txt}  (omitted)
{space 8}NBCI {c |}{col 14}{res}{space 2} 1.783255{col 26}{space 2} .4059008{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} 1.141471{col 67}{space 3} 2.785879
{txt}{space 10}KC {c |}{col 14}{res}{space 2} .9927985{col 26}{space 2} .2148213{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4} .6496486{col 67}{space 3} 1.517203
{txt}{space 10}VC {c |}{col 14}{res}{space 2} .4895113{col 26}{space 2} .1059227{col 37}{space 1}   -3.30{col 46}{space 3}0.001{col 54}{space 4}  .320314{col 67}{space 3} .7480826
{txt}{space 5}POLSmaj {c |}{col 14}{res}{space 2} 1.536519{col 26}{space 2} .3066892{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4} 1.039054{col 67}{space 3} 2.272153
{txt}{space 5}jaguars {c |}{col 14}{res}{space 2} .5166033{col 26}{space 2} .0917395{col 37}{space 1}   -3.72{col 46}{space 3}0.000{col 54}{space 4}  .364753{col 67}{space 3} .7316702
{txt}{space 6}female {c |}{col 14}{res}{space 2} 1.629933{col 26}{space 2}  .291373{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} 1.148169{col 67}{space 3} 2.313842
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-3.122374{col 26}{space 2} .2921679{col 54}{space 4}-3.695013{col 67}{space 3}-2.549735
{txt}       /cut2 {c |}{col 14}{res}{space 2}-1.875778{col 26}{space 2} .2368441{col 54}{space 4}-2.339984{col 67}{space 3}-1.411572
{txt}       /cut3 {c |}{col 14}{res}{space 2}-.6786431{col 26}{space 2} .2188021{col 54}{space 4}-1.107487{col 67}{space 3} -.249799
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.153971{col 26}{space 2} .2248216{col 54}{space 4} .7133283{col 67}{space 3} 1.594613
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit appealDV VL KL NBCI KC VC POLSmaj jaguars female, or, if cons==1

{txt}note: KC omitted because of collinearity
note: VC omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-571.43567}  
Iteration 1:{space 3}log likelihood = {res:-541.55795}  
Iteration 2:{space 3}log likelihood = {res:-541.09683}  
Iteration 3:{space 3}log likelihood = {res:-541.09604}  
Iteration 4:{space 3}log likelihood = {res:-541.09604}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       406
{txt}{col 49}LR chi2({res}6{txt}){col 67}= {res}     60.68
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-541.09604{txt}{col 49}Pseudo R2{col 67}= {res}    0.0531

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2} .4249594{col 26}{space 2}   .11219{col 37}{space 1}   -3.24{col 46}{space 3}0.001{col 54}{space 4} .2532963{col 67}{space 3} .7129617
{txt}{space 10}KL {c |}{col 14}{res}{space 2} 1.545303{col 26}{space 2} .3908733{col 37}{space 1}    1.72{col 46}{space 3}0.085{col 54}{space 4} .9412572{col 67}{space 3} 2.536991
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 2.720219{col 26}{space 2} .7276716{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} 1.610287{col 67}{space 3} 4.595199
{txt}{space 10}KC {c |}{col 14}{res}{space 2}        1{col 26}{txt}  (omitted)
{space 10}VC {c |}{col 14}{res}{space 2}        1{col 26}{txt}  (omitted)
{space 5}POLSmaj {c |}{col 14}{res}{space 2} 1.159646{col 26}{space 2} .2741021{col 37}{space 1}    0.63{col 46}{space 3}0.531{col 54}{space 4} .7296746{col 67}{space 3} 1.842983
{txt}{space 5}jaguars {c |}{col 14}{res}{space 2}  .590807{col 26}{space 2} .1238382{col 37}{space 1}   -2.51{col 46}{space 3}0.012{col 54}{space 4} .3917658{col 67}{space 3} .8909734
{txt}{space 6}female {c |}{col 14}{res}{space 2} 1.359336{col 26}{space 2} .2651772{col 37}{space 1}    1.57{col 46}{space 3}0.116{col 54}{space 4} .9274187{col 67}{space 3} 1.992406
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-2.882178{col 26}{space 2} .2971347{col 54}{space 4}-3.464551{col 67}{space 3}-2.299804
{txt}       /cut2 {c |}{col 14}{res}{space 2}-1.786298{col 26}{space 2} .2480478{col 54}{space 4}-2.272463{col 67}{space 3}-1.300133
{txt}       /cut3 {c |}{col 14}{res}{space 2}-.6377784{col 26}{space 2} .2256932{col 54}{space 4}-1.080129{col 67}{space 3}-.1954279
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.413569{col 26}{space 2} .2380209{col 54}{space 4} .9470564{col 67}{space 3} 1.880081
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit appealDV VL KL NBCI KC VC POLSmaj jaguars female, or, if exp_ideology==4

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-464.51965}  
Iteration 1:{space 3}log likelihood = {res: -452.9501}  
Iteration 2:{space 3}log likelihood = {res:-452.89036}  
Iteration 3:{space 3}log likelihood = {res:-452.89034}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       333
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}     23.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0030
{txt}Log likelihood = {res}-452.89034{txt}{col 49}Pseudo R2{col 67}= {res}    0.0250

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2} .5793766{col 26}{space 2} .2045219{col 37}{space 1}   -1.55{col 46}{space 3}0.122{col 54}{space 4} .2900574{col 67}{space 3} 1.157279
{txt}{space 10}KL {c |}{col 14}{res}{space 2} .7824901{col 26}{space 2} .2874881{col 37}{space 1}   -0.67{col 46}{space 3}0.504{col 54}{space 4} .3808431{col 67}{space 3} 1.607725
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 1.192888{col 26}{space 2} .4098952{col 37}{space 1}    0.51{col 46}{space 3}0.608{col 54}{space 4} .6082939{col 67}{space 3} 2.339301
{txt}{space 10}KC {c |}{col 14}{res}{space 2} 1.040169{col 26}{space 2} .3703881{col 37}{space 1}    0.11{col 46}{space 3}0.912{col 54}{space 4} .5176118{col 67}{space 3} 2.090276
{txt}{space 10}VC {c |}{col 14}{res}{space 2}   .42447{col 26}{space 2} .1433171{col 37}{space 1}   -2.54{col 46}{space 3}0.011{col 54}{space 4} .2190026{col 67}{space 3} .8227062
{txt}{space 5}POLSmaj {c |}{col 14}{res}{space 2} 1.031152{col 26}{space 2} .2827201{col 37}{space 1}    0.11{col 46}{space 3}0.911{col 54}{space 4} .6024784{col 67}{space 3} 1.764835
{txt}{space 5}jaguars {c |}{col 14}{res}{space 2} .5753118{col 26}{space 2} .1322021{col 37}{space 1}   -2.41{col 46}{space 3}0.016{col 54}{space 4}  .366694{col 67}{space 3} .9026154
{txt}{space 6}female {c |}{col 14}{res}{space 2} 1.539441{col 26}{space 2} .3324025{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4} 1.008249{col 67}{space 3} 2.350488
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-3.023025{col 26}{space 2} .3702933{col 54}{space 4}-3.748787{col 67}{space 3}-2.297264
{txt}       /cut2 {c |}{col 14}{res}{space 2}-2.243615{col 26}{space 2} .3344049{col 54}{space 4}-2.899037{col 67}{space 3}-1.588193
{txt}       /cut3 {c |}{col 14}{res}{space 2}-.9987853{col 26}{space 2} .3099484{col 54}{space 4}-1.606273{col 67}{space 3}-.3912976
{txt}       /cut4 {c |}{col 14}{res}{space 2} .7150366{col 26}{space 2} .3095638{col 54}{space 4} .1083027{col 67}{space 3}  1.32177
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Appendix
. *Table 2A
. ologit appealDV VL VC KL KC NBCI republican democrat, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1993.3476}  
Iteration 1:{space 3}log likelihood = {res:-1945.7579}  
Iteration 2:{space 3}log likelihood = {res:-1945.4729}  
Iteration 3:{space 3}log likelihood = {res:-1945.4728}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,412
{txt}{col 49}LR chi2({res}7{txt}){col 67}= {res}     95.75
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1945.4728{txt}{col 49}Pseudo R2{col 67}= {res}    0.0240

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2} .4803066{col 26}{space 2} .0836034{col 37}{space 1}   -4.21{col 46}{space 3}0.000{col 54}{space 4} .3414729{col 67}{space 3} .6755863
{txt}{space 10}VC {c |}{col 14}{res}{space 2} .5066884{col 26}{space 2} .0805059{col 37}{space 1}   -4.28{col 46}{space 3}0.000{col 54}{space 4} .3711048{col 67}{space 3} .6918076
{txt}{space 10}KL {c |}{col 14}{res}{space 2} 1.277404{col 26}{space 2} .2206064{col 37}{space 1}    1.42{col 46}{space 3}0.156{col 54}{space 4} .9105979{col 67}{space 3} 1.791967
{txt}{space 10}KC {c |}{col 14}{res}{space 2} 1.069438{col 26}{space 2} .1749351{col 37}{space 1}    0.41{col 46}{space 3}0.682{col 54}{space 4} .7761021{col 67}{space 3} 1.473643
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 1.819672{col 26}{space 2} .2659475{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} 1.366435{col 67}{space 3} 2.423245
{txt}{space 2}republican {c |}{col 14}{res}{space 2}  .724297{col 26}{space 2} .0917116{col 37}{space 1}   -2.55{col 46}{space 3}0.011{col 54}{space 4} .5651142{col 67}{space 3} .9283188
{txt}{space 4}democrat {c |}{col 14}{res}{space 2} .9360501{col 26}{space 2} .1090988{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4} .7448856{col 67}{space 3} 1.176274
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-3.009724{col 26}{space 2} .1618375{col 54}{space 4} -3.32692{col 67}{space 3}-2.692529
{txt}       /cut2 {c |}{col 14}{res}{space 2}-2.016089{col 26}{space 2} .1374028{col 54}{space 4}-2.285394{col 67}{space 3}-1.746785
{txt}       /cut3 {c |}{col 14}{res}{space 2}-.8698978{col 26}{space 2} .1255642{col 54}{space 4}-1.115999{col 67}{space 3}-.6237965
{txt}       /cut4 {c |}{col 14}{res}{space 2} .8988084{col 26}{space 2} .1264852{col 54}{space 4}  .650902{col 67}{space 3} 1.146715
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit appealDV VL VC KL KC NBCI republican democrat female POLSmaj, or

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1854.5704}  
Iteration 1:{space 3}log likelihood = {res:-1798.6703}  
Iteration 2:{space 3}log likelihood = {res:-1798.2716}  
Iteration 3:{space 3}log likelihood = {res:-1798.2713}  
Iteration 4:{space 3}log likelihood = {res:-1798.2713}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,329
{txt}{col 49}LR chi2({res}9{txt}){col 67}= {res}    112.60
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1798.2713{txt}{col 49}Pseudo R2{col 67}= {res}    0.0304

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2}  .489611{col 26}{space 2} .0894367{col 37}{space 1}   -3.91{col 46}{space 3}0.000{col 54}{space 4} .3422655{col 67}{space 3} .7003887
{txt}{space 10}VC {c |}{col 14}{res}{space 2} .5136248{col 26}{space 2} .0843069{col 37}{space 1}   -4.06{col 46}{space 3}0.000{col 54}{space 4} .3723308{col 67}{space 3} .7085378
{txt}{space 10}KL {c |}{col 14}{res}{space 2} 1.273897{col 26}{space 2} .2281826{col 37}{space 1}    1.35{col 46}{space 3}0.177{col 54}{space 4} .8967381{col 67}{space 3} 1.809685
{txt}{space 10}KC {c |}{col 14}{res}{space 2} 1.065568{col 26}{space 2} .1792726{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4} .7662558{col 67}{space 3} 1.481796
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 1.823263{col 26}{space 2} .2760081{col 37}{space 1}    3.97{col 46}{space 3}0.000{col 54}{space 4} 1.355169{col 67}{space 3} 2.453045
{txt}{space 2}republican {c |}{col 14}{res}{space 2} .7676856{col 26}{space 2} .1014959{col 37}{space 1}   -2.00{col 46}{space 3}0.046{col 54}{space 4} .5924419{col 67}{space 3}  .994766
{txt}{space 4}democrat {c |}{col 14}{res}{space 2} .9255161{col 26}{space 2} .1118533{col 37}{space 1}   -0.64{col 46}{space 3}0.522{col 54}{space 4} .7303178{col 67}{space 3} 1.172887
{txt}{space 6}female {c |}{col 14}{res}{space 2} 1.385452{col 26}{space 2} .1476326{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} 1.124316{col 67}{space 3} 1.707241
{txt}{space 5}POLSmaj {c |}{col 14}{res}{space 2} 1.620122{col 26}{space 2} .1971345{col 37}{space 1}    3.97{col 46}{space 3}0.000{col 54}{space 4} 1.276364{col 67}{space 3} 2.056463
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-2.813586{col 26}{space 2} .1843771{col 54}{space 4}-3.174959{col 67}{space 3}-2.452214
{txt}       /cut2 {c |}{col 14}{res}{space 2} -1.76211{col 26}{space 2} .1586019{col 54}{space 4}-2.072965{col 67}{space 3}-1.451256
{txt}       /cut3 {c |}{col 14}{res}{space 2}-.6022299{col 26}{space 2} .1483112{col 54}{space 4}-.8929145{col 67}{space 3}-.3115452
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.242632{col 26}{space 2} .1525487{col 54}{space 4} .9436419{col 67}{space 3} 1.541622
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Figure 1A
. estimates clear
{txt}
{com}. ologit appealDV VL KL NBCI KC VC POLSmaj female, or, if jaguars==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-832.26763}  
Iteration 1:{space 3}log likelihood = {res:-808.46186}  
Iteration 2:{space 3}log likelihood = {res:-808.34026}  
Iteration 3:{space 3}log likelihood = {res:-808.34021}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       553
{txt}{col 49}LR chi2({res}7{txt}){col 67}= {res}     47.85
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-808.34021{txt}{col 49}Pseudo R2{col 67}= {res}    0.0287

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2} .6985825{col 26}{space 2} .1906303{col 37}{space 1}   -1.31{col 46}{space 3}0.189{col 54}{space 4} .4092046{col 67}{space 3}   1.1926
{txt}{space 10}KL {c |}{col 14}{res}{space 2} 1.492566{col 26}{space 2} .4172925{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4} .8628869{col 67}{space 3} 2.581743
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 2.362234{col 26}{space 2} .5416115{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} 1.507162{col 67}{space 3} 3.702421
{txt}{space 10}KC {c |}{col 14}{res}{space 2} 1.303323{col 26}{space 2} .3239042{col 37}{space 1}    1.07{col 46}{space 3}0.286{col 54}{space 4}  .800774{col 67}{space 3} 2.121262
{txt}{space 10}VC {c |}{col 14}{res}{space 2} .6248654{col 26}{space 2} .1562287{col 37}{space 1}   -1.88{col 46}{space 3}0.060{col 54}{space 4} .3827977{col 67}{space 3} 1.020008
{txt}{space 5}POLSmaj {c |}{col 14}{res}{space 2} 2.621205{col 26}{space 2}  1.06999{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} 1.177704{col 67}{space 3} 5.833994
{txt}{space 6}female {c |}{col 14}{res}{space 2} 1.644093{col 26}{space 2} .2988456{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} 1.151341{col 67}{space 3} 2.347733
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-1.822366{col 26}{space 2} .2415464{col 54}{space 4}-2.295789{col 67}{space 3}-1.348944
{txt}       /cut2 {c |}{col 14}{res}{space 2}-.9411232{col 26}{space 2} .2195855{col 54}{space 4}-1.371503{col 67}{space 3}-.5107437
{txt}       /cut3 {c |}{col 14}{res}{space 2} .2691189{col 26}{space 2} .2141305{col 54}{space 4}-.1505691{col 67}{space 3} .6888069
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.717565{col 26}{space 2} .2285981{col 54}{space 4} 1.269521{col 67}{space 3} 2.165609
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store take_class_jaguars_102620
{txt}
{com}. ologit appealDV VL KL NBCI KC VC POLSmaj female, or, if jaguars==0

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-994.44591}  
Iteration 1:{space 3}log likelihood = {res:-960.53873}  
Iteration 2:{space 3}log likelihood = {res:-960.18399}  
Iteration 3:{space 3}log likelihood = {res:-960.18369}  
Iteration 4:{space 3}log likelihood = {res:-960.18369}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       780
{txt}{col 49}LR chi2({res}7{txt}){col 67}= {res}     68.52
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-960.18369{txt}{col 49}Pseudo R2{col 67}= {res}    0.0345

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    appealDV{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}VL {c |}{col 14}{res}{space 2} .3403706{col 26}{space 2} .0827625{col 37}{space 1}   -4.43{col 46}{space 3}0.000{col 54}{space 4} .2113386{col 67}{space 3} .5481826
{txt}{space 10}KL {c |}{col 14}{res}{space 2} .9875428{col 26}{space 2}  .223605{col 37}{space 1}   -0.06{col 46}{space 3}0.956{col 54}{space 4}   .63361{col 67}{space 3} 1.539181
{txt}{space 8}NBCI {c |}{col 14}{res}{space 2} 1.576258{col 26}{space 2} .3183011{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} 1.061061{col 67}{space 3} 2.341609
{txt}{space 10}KC {c |}{col 14}{res}{space 2}  1.06314{col 26}{space 2} .2406647{col 37}{space 1}    0.27{col 46}{space 3}0.787{col 54}{space 4} .6821858{col 67}{space 3} 1.656832
{txt}{space 10}VC {c |}{col 14}{res}{space 2} .4711559{col 26}{space 2} .1028388{col 37}{space 1}   -3.45{col 46}{space 3}0.001{col 54}{space 4} .3071663{col 67}{space 3}  .722696
{txt}{space 5}POLSmaj {c |}{col 14}{res}{space 2} 1.208832{col 26}{space 2} .1707612{col 37}{space 1}    1.34{col 46}{space 3}0.179{col 54}{space 4} .9164826{col 67}{space 3} 1.594439
{txt}{space 6}female {c |}{col 14}{res}{space 2} 1.578705{col 26}{space 2} .2176209{col 37}{space 1}    3.31{col 46}{space 3}0.001{col 54}{space 4} 1.204938{col 67}{space 3} 2.068412
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2} -3.62268{col 26}{space 2} .2719399{col 54}{space 4}-4.155673{col 67}{space 3}-3.089688
{txt}       /cut2 {c |}{col 14}{res}{space 2}-2.213412{col 26}{space 2} .1925116{col 54}{space 4}-2.590728{col 67}{space 3}-1.836096
{txt}       /cut3 {c |}{col 14}{res}{space 2}-1.034015{col 26}{space 2} .1689389{col 54}{space 4}-1.365129{col 67}{space 3}-.7029006
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.161943{col 26}{space 2} .1704086{col 54}{space 4} .8279482{col 67}{space 3} 1.495938
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store take_class_uncc_102620
{txt}
{com}. coefplot take_class_jaguars_102620 take_class_uncc_102620, title(Likelihood of Taking Class (By School))  ||, drop(_cons POLSmaj female) xline(0) level(90) note(base category=no politics)
{res}{txt}
{com}. 
. *Figure 2A
. reg appealDV VL c.VC##c.republican KL KC NBCI democrat POLSmaj jaguars female

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,329
{txt}{hline 13}{c +}{hline 34}   F(11, 1317)     = {res}    14.21
{txt}       Model {c |} {res} 171.168391        11  15.5607628   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1441.69542     1,317  1.09468141   {txt}R-squared       ={res}    0.1061
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0987
{txt}       Total {c |} {res} 1612.86381     1,328  1.21450588   {txt}Root MSE        =   {res} 1.0463

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         appealDV{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}VL {c |}{col 19}{res}{space 2}-.3938336{col 31}{space 2} .1067795{col 42}{space 1}   -3.69{col 51}{space 3}0.000{col 59}{space 4}  -.60331{col 72}{space 3}-.1843572
{txt}{space 15}VC {c |}{col 19}{res}{space 2}-.4936225{col 31}{space 2} .0975286{col 42}{space 1}   -5.06{col 51}{space 3}0.000{col 59}{space 4}-.6849509{col 72}{space 3}-.3022942
{txt}{space 7}republican {c |}{col 19}{res}{space 2}-.1612481{col 31}{space 2} .0789008{col 42}{space 1}   -2.04{col 51}{space 3}0.041{col 59}{space 4} -.316033{col 72}{space 3}-.0064631
{txt}{space 17} {c |}
c.VC#c.republican {c |}{col 19}{res}{space 2}  .584218{col 31}{space 2} .2306248{col 42}{space 1}    2.53{col 51}{space 3}0.011{col 59}{space 4} .1317859{col 72}{space 3}  1.03665
{txt}{space 17} {c |}
{space 15}KL {c |}{col 19}{res}{space 2} .0916256{col 31}{space 2} .1023557{col 42}{space 1}    0.90{col 51}{space 3}0.371{col 59}{space 4}-.1091724{col 72}{space 3} .2924237
{txt}{space 15}KC {c |}{col 19}{res}{space 2} .0437783{col 31}{space 2} .0968846{col 42}{space 1}    0.45{col 51}{space 3}0.651{col 59}{space 4}-.1462867{col 72}{space 3} .2338434
{txt}{space 13}NBCI {c |}{col 19}{res}{space 2} .3253724{col 31}{space 2} .0854466{col 42}{space 1}    3.81{col 51}{space 3}0.000{col 59}{space 4} .1577461{col 72}{space 3} .4929986
{txt}{space 9}democrat {c |}{col 19}{res}{space 2}-.0308178{col 31}{space 2} .0687869{col 42}{space 1}   -0.45{col 51}{space 3}0.654{col 59}{space 4}-.1657617{col 72}{space 3} .1041261
{txt}{space 10}POLSmaj {c |}{col 19}{res}{space 2} .1134565{col 31}{space 2} .0741948{col 42}{space 1}    1.53{col 51}{space 3}0.126{col 59}{space 4}-.0320964{col 72}{space 3} .2590094
{txt}{space 10}jaguars {c |}{col 19}{res}{space 2}-.3981691{col 31}{space 2} .0646643{col 42}{space 1}   -6.16{col 51}{space 3}0.000{col 59}{space 4}-.5250254{col 72}{space 3}-.2713128
{txt}{space 11}female {c |}{col 19}{res}{space 2} .2408115{col 31}{space 2} .0623866{col 42}{space 1}    3.86{col 51}{space 3}0.000{col 59}{space 4} .1184236{col 72}{space 3} .3631994
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 3.829877{col 31}{space 2} .0856512{col 42}{space 1}   44.71{col 51}{space 3}0.000{col 59}{space 4} 3.661849{col 72}{space 3} 3.997904
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(VC) at (republican=(0(1)1))
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,329
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:VC}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:republican}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:republican}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}VC           {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.4936225{col 26}{space 2} .0975286{col 37}{space 1}   -5.06{col 46}{space 3}0.000{col 54}{space 4}-.6849509{col 67}{space 3}-.3022942
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0905955{col 26}{space 2} .2203809{col 37}{space 1}    0.41{col 46}{space 3}0.681{col 54}{space 4}-.3417406{col 67}{space 3} .5229315
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot

{text}{p 2 6 2}Variables that uniquely identify margins: republican{p_end}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\SLiebertz\Documents\Professor Bias\Log file for PS article March2021.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}20 Mar 2021, 17:46:39
{txt}{.-}
{smcl}
{txt}{sf}{ul off}